Hybrid single and double‐voltage vector‐based model predictive common‐mode voltage reduction method for 2‐level voltage source inverters

2019 ◽  
Vol 12 (8) ◽  
pp. 2086-2094 ◽  
Author(s):  
Leilei Guo ◽  
Yuxiang Jin ◽  
Lingzhi Cao ◽  
Linwang Dai ◽  
Kui Luo
Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 586 ◽  
Author(s):  
Jaehyuk Baik ◽  
Sangwon Yun ◽  
Dongsik Kim ◽  
Chunki Kwon ◽  
Jiyoon Yoo

A minimum root mean square (RMS) torque ripple-remote-state pulse-width modulation (MTR-RSPWM) technique is proposed for minimizing the RMS torque ripple under reduced common-mode voltage (CMV) condition of three-phase voltage source inverters (VSI)-fed brushless alternating current (BLAC) motor drives. The q-axis current ripple due to an error voltage vector generated between the reference voltage vector and applied voltage vector is analyzed for all pulse patterns with reduced CMV of the RSPWM. From the analysis result, in the MTR-RSPWM, a sector is divided into five zones, and within each zone, pulse patterns with the lowest RMS torque ripple and reduced CMV are employed. To verify the validity of the MTR-RSPWM, theorical analysis, simulation, and experiments are performed, where the MTR-RSPWM is thoroughly compared with RSPWM3 that generates the minimum RMS current ripple. From the analytical, simulation, and experimental results, it is shown that the MTR-RSPWM significantly reduces the RMS torque ripple under a reduced CMV condition at the expense of an increase in the RMS current ripple, compared to the RSPWM3.


Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 872 ◽  
Author(s):  
Eun-Su Jun ◽  
So-young Park ◽  
Sangshin Kwak

In this paper, a comprehensive double-vector approach is proposed to alleviate the common-mode voltage of voltage-source inverters based on a model predictive control scheme. Only six active vectors are selected to alleviate the common-mode voltage. Furthermore, one sampling period must be split to apply two non-zero vectors, which can generate currents with small current ripples and errors, despite not using zero vectors. The developed algorithm regards in full all 36 possible cases combined by two non-zero active vectors when selecting two vectors and splitting them into one sampling period. Thus, an optimal future set of two non-zero active vectors and optimal durations of two non-zero active vectors to produce the smallest current errors between the real currents and the reference in future load current trajectories were selected from 36 entire sets. This was done to minimize the cost function defined at the time when it varies from the first vector to the second vector and at the next sampling instant. Thus, the proposed algorithm can control the output currents with a fast transient response and reduce output-current ripples and errors, as well as alleviate the common-mode voltage to ± V d c / 6 .


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